Text Classification
setfit
Safetensors
English
mpnet
education
classroom-discourse
edubehaviors
assertion
Eval Results (legacy)
Instructions to use StanfordSCALE/assertion_sentence_has_time_reference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- setfit
How to use StanfordSCALE/assertion_sentence_has_time_reference with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("StanfordSCALE/assertion_sentence_has_time_reference") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from StanfordSCALE/assertion_sentence_has_time_reference: direct link, hf CLI and curl.
- Browser
- Download file 446 Bytes
-
https://huggingface.co/StanfordSCALE/assertion_sentence_has_time_reference/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://StanfordSCALE/assertion_sentence_has_time_reference/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/StanfordSCALE/assertion_sentence_has_time_reference/resolve/main/tokenizer_config.json
446 Bytes
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "cls_token": "<s>", | |
| "do_basic_tokenize": true, | |
| "do_lower_case": true, | |
| "eos_token": "</s>", | |
| "is_local": false, | |
| "local_files_only": false, | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "never_split": null, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "MPNetTokenizer", | |
| "unk_token": "[UNK]" | |
| } | |